Part 2: Agreement Isn’t Enough: Why Change Waits for Coordination

In part one, we learned that good ideas inform change, but social behavior tips it over.

Photo by Pawel Janiak

At A Glance: Many change efforts falter not because people disagree, but because they are hesitant. Leaders often rely on data and clear reasoning to persuade, assuming understanding will drive action. This essay examines why logical persuasion rarely moves behavior on its own — and how social cues, peer adoption, and visible reassurance determine when people are willing to let go of old habits and move together.

In many organizations, change efforts begin with a great deal of analysis.

Leaders spend time clarifying the rationale behind a new strategic direction. They work through trade-offs, assess market risks, and test scenarios so that any pivot feels both reasonable and necessary. By the time the strategy is shared, it is usually a cleanly articulated story of what is being asked and why it benefits the company, employees included.

And yet, even when understanding is high, action often lags.

Prefer listening? I’ve included a short, conversational-style audio summary of this article — crafted specifically for this piece!

Over the past few years, this gap has become increasingly visible. Execution, not strategy, has emerged as the primary concern for senior leaders. The issue is no longer whether organizations know what to do, but why so many struggle to translate agreement into movement.

The language of the change shows up in meetings and conversations, but day-to-day behavior remains largely the same. Leaders sense that something isn’t quite connecting. There may not be explicit pushback. People may even ask thoughtful, measured questions. Still, momentum never quite materializes.

At this point, many leaders assume the problem is communication. Perhaps the message needs to be sharper, the benefits more explicit, or the urgency clearer. These instincts are understandable, especially for leaders who have built their careers by solving complex problems through logic, evidence, and disciplined execution.

But what if more understanding isn’t the constraint?

A revealing example comes from a set of studies conducted in California in the mid-2000s, when researchers set out to understand how to encourage households to adopt more energy-efficient behaviors. At the time, policymakers assumed the challenge was largely informational. If people understood the financial benefits, the environmental impact, or the moral responsibility involved, behavior would follow.

When surveyed, residents reinforced that assumption. They reported that they would be most influenced by logic and principle. Saving money mattered. Protecting the environment mattered. Social norms, they believed, mattered far less — at least for themselves.

That belief shaped how many energy-conservation programs were designed.

The researchers put those assumptions to the test. In a second phase of the study, a new group of households received practical guidance on how to reduce energy use. Some were given information about environmental benefits. Others were shown how much money they could save. A third group received a different signal entirely: simple information about how their neighbors were reducing their energy consumption.

When researchers returned a month later, the results were clear. The only households that showed meaningful reductions in energy use were those that had been shown what their peers were doing.

More striking, the people whose behavior had changed continued to believe that logic-based arguments would have been more effective. The lesson wasn’t that people were irrational. It was that they misunderstood what actually moves them.

Information helped people understand the change. But it didn’t help them cross the threshold required to act.

The same pattern shows up repeatedly inside organizations. Leaders design change around carefully reasoned arguments because that’s how the decision itself was made. But adoption depends on something else entirely: whether people feel socially aligned and sufficiently reassured to move before they know how everyone else will respond.

In the first essay, Knowing Isn’t Enough, we explored why hesitation is a rational response to uncertainty and identity risk. Here, the question becomes more precise. If understanding isn’t enough, and persuasion isn’t the constraint, what actually gets people to move?

What the California study surfaced was not a failure of motivation or awareness. It revealed something subtler and more consequential: people are often poor judges of what actually influences their own behavior.

Asked directly, residents insisted that their decisions were driven by values and incentives. In practice, neither proved decisive. What changed behavior was the quiet signal that others nearby had already moved and realized those benefits.

This gap between belief and behavior creates a trap for leaders.

When adoption stalls, it’s tempting to assume the message didn’t land. The response is often to sharpen the argument, add more data, or increase the urgency. In effect, leaders double down on the very levers that failed to produce movement in the first place.

The California researchers encountered the same dynamic. Even after their energy usage declined, participants continued to credit logic and incentives rather than recognizing the influence of their peers. Data and moral arguments inform change. Social influence does the work. It changes behavior without changing people’s stories about themselves.

That blind spot is what makes coordination so difficult to manage.

In organizations, change rarely spreads because of persuasion alone. It spreads when enough people move together that the risk of acting alone diminishes. At that point, adoption begins to feel less like a leap and more like a step.

Damon Centola’s later work helped clarify where that shift occurs. Across a range of settings, he found that behaviors requiring coordination don’t spread gradually or virally. They remain dormant until a critical mass is reached. Once roughly a quarter of a group adopts a new behavior, the dynamics change. What was once risky becomes normative. What felt early suddenly feels late.

That threshold is not about consensus. It’s about reassurance.

Below it, people hesitate because they cannot be sure how others will respond. Above it, that uncertainty collapses. The question quietly shifts from Is it safe to move? to Why haven’t I already?

This is why so many change efforts feel stuck despite broad agreement. What leaders are often observing is not disagreement, but a system waiting for social confirmation. People watch for cues, track who moves first, and gauge whether adoption will align them or leave them exposed.

When those signals never materialize, the system settles in place. Over time, stillness hardens into habit. Silence is read as acceptance. Caution is labeled resistance. And when behavior finally surfaces, it often does so without leadership’s involvement.

This misdiagnosis is costly. It explains why so many change efforts stall or fail, a pattern that has held steady since John Kotter first began documenting it decades ago. More recent work, including studies by RAND, suggests the failure rate is even higher when uncertainty and fear are elevated, as with AI-driven change.

But despite differences in context or technology, the underlying pattern is remarkably consistent. Change breaks down not because people fail to understand what’s being asked, but because they hesitate on a different question: when is it socially acceptable to adopt?

When leaders assume resistance stems from a lack of understanding, they respond with persuasion. But persuasion operates at the level of individual belief. Coordination operates at the level of shared expectation. Confusing the two leads organizations to invest heavily in explanation while overlooking the social dynamics that determine whether explanation ever becomes action.

The first essay explored why hesitation is a rational response to uncertainty and identity risk. This essay adds a second layer. Hesitation persists not because people are unconvinced, but because they are unconvinced that others will move with them.

Change stalls not at the point of comprehension, but at the point of social exposure.

That distinction helps explain why even well-run organizations struggle to execute change. The issue is not intent or intelligence. It’s that the system lacks a clear way to create visible reassurance before asking people to act.

Understanding this doesn’t solve the problem. But it changes how leaders design for it.

If coordination is the real constraint, the work of change looks different. It’s less about convincing people the change is right and more about creating enough reassurance that movement becomes socially safe.

In the final essay of this series, we’ll turn to that question directly: how reassurance forms, why it so often fails to materialize, and what allows change to reach the point where it sustains itself.

About the Author: Jason is a behavioral economist and founder of 3Fold Collective, an organizational design firm helping leaders diagnose and reshape cultural dynamics. Visit 3FoldCollective.com to discover more.

References

AlixPartners. (2024). Private equity leadership survey: Key findings. AlixPartners LLP.

https://features.alixpartners.com/private-equity-leadership-survey-2024/#group-section-Key-findings-KF27JiPhpS

Centola, D. (2021). Change: How to make big things happen. Little, Brown and Company.

Kotter, J. P. (1996). Leading change. Harvard Business School Press.

Nolan, J. M., Schultz, P. W., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2008). Normative social influence is underdetected. Personality and Social Psychology Bulletin, 34(7), 913–923. https://doi.org/10.1177/0146167208316691

Pronin, E., Berger, J., & Molouki, S. (2007). Alone in a crowd of sheep: Asymmetric perceptions of conformity and their roots in an introspection illusion. Journal of Personality and Social Psychology, 92(4), 585–595. https://doi.org/10.1037/0022-3514.92.4.585

RAND Corporation. (2023). The adoption of artificial intelligence in the U.S. economy (RR-A2680-1). https://www.rand.org/pubs/research_reports/RRA2680-1.html

If this feels like the middle of a conversation, that’s because it is. This is part two of a broader look at how social tipping points actually form. Part one focuses on why hesitation shows up long before resistance does. Each piece stands alone, but together they tell a more complete story. If you’d like to rewind, you can find the first essay here.